Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric24
Categorical1

Alerts

complex_area has constant value "0.0"Constant
water_supply is highly overall correlated with Total_Population and 13 other fieldsHigh correlation
Total_Population is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Households is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Population_per_Households is highly overall correlated with water_supply and 15 other fieldsHigh correlation
Male_Population is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Female_Population is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Power_usage is highly overall correlated with Population_per_Households and 6 other fieldsHigh correlation
Num_of_Business is highly overall correlated with water_supply and 14 other fieldsHigh correlation
Business_above_100 is highly overall correlated with water_supply and 12 other fieldsHigh correlation
annual_household_income is highly overall correlated with water_supply and 15 other fieldsHigh correlation
personal_expense is highly overall correlated with water_supply and 15 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Total_Population and 10 other fieldsHigh correlation
employment_ratio is highly overall correlated with water_supply and 14 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with water_supply and 11 other fieldsHigh correlation
Average_Temp is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
Average_Wind is highly overall correlated with water_supply and 11 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
water_supply has unique valuesUnique
Total_Population has unique valuesUnique
Households has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Population has unique valuesUnique
Female_Population has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
Num_of_Business has unique valuesUnique
employment_ratio has unique valuesUnique
employment_insurance_ratio has unique valuesUnique
Monthly_Rainfall has 2 (1.4%) zerosZeros

Reproduction

Analysis started2023-08-30 08:52:18.087592
Analysis finished2023-08-30 08:52:59.314042
Duration41.23 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174455.52
Minimum85003.871
Maximum243255.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:52:59.361228image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum85003.871
5-th percentile117547.27
Q1155786.24
median171852.7
Q3202805.08
95-th percentile220537.17
Maximum243255.26
Range158251.39
Interquartile range (IQR)47018.837

Descriptive statistics

Standard deviation33159.008
Coefficient of variation (CV)0.19007142
Kurtosis-0.53491352
Mean174455.52
Median Absolute Deviation (MAD)24488.717
Skewness-0.23964704
Sum25121595
Variance1.0995198 × 109
MonotonicityNot monotonic
2023-08-30T17:52:59.438695image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118558.0645 1
 
0.7%
117525.3571 1
 
0.7%
174263.5333 1
 
0.7%
193276.3548 1
 
0.7%
177701.8667 1
 
0.7%
181618.4839 1
 
0.7%
198806.6452 1
 
0.7%
200301.6429 1
 
0.7%
192792.7419 1
 
0.7%
195605.7 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
85003.87097 1
0.7%
100616.7742 1
0.7%
105502.2581 1
0.7%
106863.6667 1
0.7%
114031.6667 1
0.7%
115843.2258 1
0.7%
116581.6667 1
0.7%
117525.3571 1
0.7%
117671.4286 1
0.7%
118558.0645 1
0.7%
ValueCountFrequency (%)
243255.2581 1
0.7%
237437.2667 1
0.7%
236834.9677 1
0.7%
227141.4667 1
0.7%
224634.4194 1
0.7%
223297.2 1
0.7%
222748.4516 1
0.7%
220720 1
0.7%
219501.129 1
0.7%
219279.0357 1
0.7%

Total_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316277.58
Minimum238662
Maximum387289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:52:59.535453image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum238662
5-th percentile245079
Q1276064.75
median312902
Q3363881.25
95-th percentile384229.2
Maximum387289
Range148627
Interquartile range (IQR)87816.5

Descriptive statistics

Standard deviation46665.941
Coefficient of variation (CV)0.14754742
Kurtosis-1.3289562
Mean316277.58
Median Absolute Deviation (MAD)42287.5
Skewness0.027533559
Sum45543972
Variance2.1777101 × 109
MonotonicityStrictly increasing
2023-08-30T17:52:59.611161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
238662 1
 
0.7%
238786 1
 
0.7%
338133 1
 
0.7%
340616 1
 
0.7%
343820 1
 
0.7%
345947 1
 
0.7%
347498 1
 
0.7%
348587 1
 
0.7%
349850 1
 
0.7%
351494 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
238662 1
0.7%
238786 1
0.7%
239430 1
0.7%
240134 1
0.7%
241505 1
0.7%
242559 1
0.7%
243433 1
0.7%
244950 1
0.7%
245810 1
0.7%
248174 1
0.7%
ValueCountFrequency (%)
387289 1
0.7%
386573 1
0.7%
386496 1
0.7%
386301 1
0.7%
385808 1
0.7%
385000 1
0.7%
384714 1
0.7%
384306 1
0.7%
383794 1
0.7%
383052 1
0.7%

Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127745.36
Minimum91265
Maximum167673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:52:59.700368image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum91265
5-th percentile93756.3
Q1107605.5
median124240.5
Q3150172.25
95-th percentile165415.35
Maximum167673
Range76408
Interquartile range (IQR)42566.75

Descriptive statistics

Standard deviation23620.844
Coefficient of variation (CV)0.18490569
Kurtosis-1.2569076
Mean127745.36
Median Absolute Deviation (MAD)19840.5
Skewness0.22165878
Sum18395332
Variance5.5794429 × 108
MonotonicityNot monotonic
2023-08-30T17:52:59.778948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91265 1
 
0.7%
91411 1
 
0.7%
136496 1
 
0.7%
137650 1
 
0.7%
139075 1
 
0.7%
140112 1
 
0.7%
140902 1
 
0.7%
141532 1
 
0.7%
142265 1
 
0.7%
143127 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
91265 1
0.7%
91411 1
0.7%
91723 1
0.7%
92041 1
0.7%
92371 1
0.7%
92819 1
0.7%
93273 1
0.7%
93708 1
0.7%
94030 1
0.7%
95675 1
0.7%
ValueCountFrequency (%)
167673 1
0.7%
167158 1
0.7%
166969 1
0.7%
166840 1
0.7%
166446 1
0.7%
165915 1
0.7%
165676 1
0.7%
165450 1
0.7%
165219 1
0.7%
164928 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4925455
Minimum2.3097875
Maximum2.6150441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:52:59.863345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.3097875
5-th percentile2.3221924
Q12.4230954
median2.5185185
Q32.565527
95-th percentile2.6097616
Maximum2.6150441
Range0.3052566
Interquartile range (IQR)0.14243162

Descriptive statistics

Standard deviation0.092330161
Coefficient of variation (CV)0.037042519
Kurtosis-0.86867832
Mean2.4925455
Median Absolute Deviation (MAD)0.06256322
Skewness-0.63066082
Sum358.92655
Variance0.0085248587
MonotonicityNot monotonic
2023-08-30T17:52:59.938347image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.615044102 1
 
0.7%
2.612223912 1
 
0.7%
2.477237428 1
 
0.7%
2.47450781 1
 
0.7%
2.472191264 1
 
0.7%
2.46907474 1
 
0.7%
2.466238946 1
 
0.7%
2.462955374 1
 
0.7%
2.459143148 1
 
0.7%
2.455818958 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
2.309787503 1
0.7%
2.312620395 1
0.7%
2.314776995 1
0.7%
2.315397986 1
0.7%
2.317916922 1
0.7%
2.320465298 1
0.7%
2.321225019 1
0.7%
2.322086482 1
0.7%
2.322792384 1
0.7%
2.322941066 1
0.7%
ValueCountFrequency (%)
2.615044102 1
0.7%
2.614511048 1
0.7%
2.614165692 1
0.7%
2.613971059 1
0.7%
2.613247288 1
0.7%
2.612223912 1
0.7%
2.610359452 1
0.7%
2.609897827 1
0.7%
2.608989472 1
0.7%
2.596299244 1
0.7%

Male_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162387.49
Minimum122842
Maximum197673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:00.027978image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum122842
5-th percentile126341.25
Q1141882.5
median160773.5
Q3186357.25
95-th percentile196361.8
Maximum197673
Range74831
Interquartile range (IQR)44474.75

Descriptive statistics

Standard deviation23544.162
Coefficient of variation (CV)0.14498753
Kurtosis-1.3307111
Mean162387.49
Median Absolute Deviation (MAD)21352
Skewness0.0092956669
Sum23383799
Variance5.5432756 × 108
MonotonicityNot monotonic
2023-08-30T17:53:00.117139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122842 1
 
0.7%
122892 1
 
0.7%
173752 1
 
0.7%
174922 1
 
0.7%
176478 1
 
0.7%
177521 1
 
0.7%
178304 1
 
0.7%
178812 1
 
0.7%
179431 1
 
0.7%
180189 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
122842 1
0.7%
122892 1
0.7%
123224 1
0.7%
123577 1
0.7%
124361 1
0.7%
124939 1
0.7%
125384 1
0.7%
126276 1
0.7%
126711 1
0.7%
128056 1
0.7%
ValueCountFrequency (%)
197673 1
0.7%
197315 1
0.7%
197285 1
0.7%
197265 1
0.7%
197056 1
0.7%
196660 1
0.7%
196588 1
0.7%
196393 1
0.7%
196185 1
0.7%
195851 1
0.7%

Female_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153890.09
Minimum115820
Maximum189616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:00.204636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum115820
5-th percentile118737.75
Q1134182.25
median152128.5
Q3177524
95-th percentile187867.4
Maximum189616
Range73796
Interquartile range (IQR)43341.75

Descriptive statistics

Standard deviation23123.596
Coefficient of variation (CV)0.15026046
Kurtosis-1.3264188
Mean153890.09
Median Absolute Deviation (MAD)20935.5
Skewness0.046200269
Sum22160173
Variance5.3470067 × 108
MonotonicityStrictly increasing
2023-08-30T17:53:00.284579image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115820 1
 
0.7%
115894 1
 
0.7%
164381 1
 
0.7%
165694 1
 
0.7%
167342 1
 
0.7%
168426 1
 
0.7%
169194 1
 
0.7%
169775 1
 
0.7%
170419 1
 
0.7%
171305 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
115820 1
0.7%
115894 1
0.7%
116206 1
0.7%
116557 1
0.7%
117144 1
0.7%
117620 1
0.7%
118049 1
0.7%
118674 1
0.7%
119099 1
0.7%
120118 1
0.7%
ValueCountFrequency (%)
189616 1
0.7%
189288 1
0.7%
189181 1
0.7%
189036 1
0.7%
188752 1
0.7%
188340 1
0.7%
188126 1
0.7%
187913 1
0.7%
187609 1
0.7%
187201 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0560348
Minimum1.0422478
Maximum1.066085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:00.365898image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0422478
5-th percentile1.0451897
Q11.0509673
median1.0581916
Q31.0604036
95-th percentile1.0635272
Maximum1.066085
Range0.023837225
Interquartile range (IQR)0.009436305

Descriptive statistics

Standard deviation0.0058820136
Coefficient of variation (CV)0.0055699052
Kurtosis-0.6757889
Mean1.0560348
Median Absolute Deviation (MAD)0.0034206822
Skewness-0.64042053
Sum152.06901
Variance3.4598085 × 10-5
MonotonicityNot monotonic
2023-08-30T17:53:00.445003image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.060628562 1
 
0.7%
1.060382764 1
 
0.7%
1.057007805 1
 
0.7%
1.055693024 1
 
0.7%
1.054594782 1
 
0.7%
1.053999976 1
 
0.7%
1.053843517 1
 
0.7%
1.053229274 1
 
0.7%
1.052881428 1
 
0.7%
1.051860716 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.042247792 1
0.7%
1.04249114 1
0.7%
1.042995861 1
0.7%
1.043531391 1
0.7%
1.043994236 1
0.7%
1.044175427 1
0.7%
1.044980492 1
0.7%
1.045127266 1
0.7%
1.045543496 1
0.7%
1.04555048 1
0.7%
ValueCountFrequency (%)
1.066085016 1
0.7%
1.064815122 1
0.7%
1.064633519 1
0.7%
1.064311844 1
0.7%
1.064057839 1
0.7%
1.063913215 1
0.7%
1.063607933 1
0.7%
1.063528583 1
0.7%
1.063519207 1
0.7%
1.063278322 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct55
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.809028
Minimum8.8
Maximum14.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:00.524593image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum8.8
5-th percentile8.9
Q19.575
median10.5
Q311.825
95-th percentile13.785
Maximum14.3
Range5.5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.5379085
Coefficient of variation (CV)0.14228001
Kurtosis-0.66773731
Mean10.809028
Median Absolute Deviation (MAD)1.15
Skewness0.59128553
Sum1556.5
Variance2.3651627
MonotonicityNot monotonic
2023-08-30T17:53:00.601083image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.9 12
 
8.3%
9 8
 
5.6%
10.7 6
 
4.2%
9.7 6
 
4.2%
10.4 5
 
3.5%
9.3 5
 
3.5%
10.6 5
 
3.5%
10.3 4
 
2.8%
11.3 4
 
2.8%
9.8 4
 
2.8%
Other values (45) 85
59.0%
ValueCountFrequency (%)
8.8 2
 
1.4%
8.9 12
8.3%
9 8
5.6%
9.1 3
 
2.1%
9.2 2
 
1.4%
9.3 5
3.5%
9.4 2
 
1.4%
9.5 2
 
1.4%
9.6 2
 
1.4%
9.7 6
4.2%
ValueCountFrequency (%)
14.3 1
0.7%
14.2 1
0.7%
14.1 2
1.4%
14 1
0.7%
13.9 1
0.7%
13.8 2
1.4%
13.7 1
0.7%
13.6 2
1.4%
13.5 1
0.7%
13.4 1
0.7%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0073793 × 108
Minimum1.47606 × 108
Maximum2.8446638 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:00.680421image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.47606 × 108
5-th percentile1.581396 × 108
Q11.7258729 × 108
median1.9605084 × 108
Q32.2232095 × 108
95-th percentile2.5489318 × 108
Maximum2.8446638 × 108
Range1.3686038 × 108
Interquartile range (IQR)49733656

Descriptive statistics

Standard deviation32292591
Coefficient of variation (CV)0.1608694
Kurtosis-0.54590484
Mean2.0073793 × 108
Median Absolute Deviation (MAD)24998163
Skewness0.42834281
Sum2.8906262 × 1010
Variance1.0428114 × 1015
MonotonicityNot monotonic
2023-08-30T17:53:00.771671image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
229454000 1
 
0.7%
221621000 1
 
0.7%
193876666 1
 
0.7%
170929350 1
 
0.7%
207439099 1
 
0.7%
250880110 1
 
0.7%
273522068 1
 
0.7%
280500650 1
 
0.7%
224115213 1
 
0.7%
212607585 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
147606000 1
0.7%
149051000 1
0.7%
151133000 1
0.7%
153040000 1
0.7%
154239000 1
0.7%
155703000 1
0.7%
157347000 1
0.7%
158130000 1
0.7%
158194000 1
0.7%
158489000 1
0.7%
ValueCountFrequency (%)
284466375 1
0.7%
280500650 1
0.7%
273522068 1
0.7%
272941409 1
0.7%
270886086 1
0.7%
262746401 1
0.7%
255527156 1
0.7%
255370413 1
0.7%
252188830 1
0.7%
251747575 1
0.7%

Num_of_Business
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15998.542
Minimum10030
Maximum21577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:00.884191image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum10030
5-th percentile10791.3
Q113318.25
median16104
Q318997.5
95-th percentile21179.1
Maximum21577
Range11547
Interquartile range (IQR)5679.25

Descriptive statistics

Standard deviation3244.9787
Coefficient of variation (CV)0.20282966
Kurtosis-1.1332359
Mean15998.542
Median Absolute Deviation (MAD)2794.5
Skewness-0.056665141
Sum2303790
Variance10529887
MonotonicityNot monotonic
2023-08-30T17:53:00.995650image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11587 1
 
0.7%
11729 1
 
0.7%
17981 1
 
0.7%
17573 1
 
0.7%
17910 1
 
0.7%
19083 1
 
0.7%
17763 1
 
0.7%
16822 1
 
0.7%
16711 1
 
0.7%
17651 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
10030 1
0.7%
10164 1
0.7%
10172 1
0.7%
10325 1
0.7%
10545 1
0.7%
10589 1
0.7%
10641 1
0.7%
10791 1
0.7%
10793 1
0.7%
10903 1
0.7%
ValueCountFrequency (%)
21577 1
0.7%
21471 1
0.7%
21438 1
0.7%
21424 1
0.7%
21378 1
0.7%
21343 1
0.7%
21207 1
0.7%
21198 1
0.7%
21072 1
0.7%
20650 1
0.7%

Business_above_100
Real number (ℝ)

Distinct39
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.465278
Minimum44
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:01.103376image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile51
Q157
median68.5
Q376
95-th percentile82
Maximum87
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation10.816274
Coefficient of variation (CV)0.16032357
Kurtosis-1.2255937
Mean67.465278
Median Absolute Deviation (MAD)10.5
Skewness-0.14970513
Sum9715
Variance116.99179
MonotonicityNot monotonic
2023-08-30T17:53:01.197816image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
73 10
 
6.9%
74 10
 
6.9%
58 7
 
4.9%
57 7
 
4.9%
80 7
 
4.9%
79 7
 
4.9%
56 7
 
4.9%
82 6
 
4.2%
68 5
 
3.5%
75 5
 
3.5%
Other values (29) 73
50.7%
ValueCountFrequency (%)
44 1
 
0.7%
48 2
 
1.4%
49 2
 
1.4%
50 1
 
0.7%
51 3
2.1%
52 4
2.8%
53 3
2.1%
54 4
2.8%
55 4
2.8%
56 7
4.9%
ValueCountFrequency (%)
87 1
 
0.7%
86 1
 
0.7%
85 2
 
1.4%
84 2
 
1.4%
82 6
4.2%
81 5
3.5%
80 7
4.9%
79 7
4.9%
78 2
 
1.4%
77 2
 
1.4%

complex_area
Categorical

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0.0
144 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters432
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 144
100.0%

Length

2023-08-30T17:53:01.288850image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-30T17:53:01.381041image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 144
100.0%

Most occurring characters

ValueCountFrequency (%)
0 288
66.7%
. 144
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
66.7%
Other Punctuation 144
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 288
100.0%
Other Punctuation
ValueCountFrequency (%)
. 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 288
66.7%
. 144
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 288
66.7%
. 144
33.3%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean751.66667
Minimum619
Maximum917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:01.443795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum619
5-th percentile619
Q1661.5
median721
Q3845.75
95-th percentile917
Maximum917
Range298
Interquartile range (IQR)184.25

Descriptive statistics

Standard deviation104.75493
Coefficient of variation (CV)0.13936354
Kurtosis-1.289791
Mean751.66667
Median Absolute Deviation (MAD)70.5
Skewness0.47313093
Sum108240
Variance10973.594
MonotonicityNot monotonic
2023-08-30T17:53:01.515826image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
641 12
8.3%
619 12
8.3%
662 12
8.3%
710 12
8.3%
660 12
8.3%
692 12
8.3%
732 12
8.3%
753 12
8.3%
831 12
8.3%
913 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
619 12
8.3%
641 12
8.3%
660 12
8.3%
662 12
8.3%
692 12
8.3%
710 12
8.3%
732 12
8.3%
753 12
8.3%
831 12
8.3%
890 12
8.3%
ValueCountFrequency (%)
917 12
8.3%
913 12
8.3%
890 12
8.3%
831 12
8.3%
753 12
8.3%
732 12
8.3%
710 12
8.3%
692 12
8.3%
662 12
8.3%
660 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2272.4167
Minimum1819
Maximum2497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:01.595859image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1819
5-th percentile1819
Q12182.75
median2318.5
Q32418.25
95-th percentile2497
Maximum2497
Range678
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation187.81472
Coefficient of variation (CV)0.082649774
Kurtosis0.42829498
Mean2272.4167
Median Absolute Deviation (MAD)118
Skewness-1.0381759
Sum327228
Variance35274.371
MonotonicityNot monotonic
2023-08-30T17:53:01.672589image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1819 12
8.3%
2146 12
8.3%
2195 12
8.3%
2306 12
8.3%
2378 12
8.3%
2414 12
8.3%
2331 12
8.3%
2431 12
8.3%
2497 12
8.3%
2453 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
1819 12
8.3%
2053 12
8.3%
2146 12
8.3%
2195 12
8.3%
2246 12
8.3%
2306 12
8.3%
2331 12
8.3%
2378 12
8.3%
2414 12
8.3%
2431 12
8.3%
ValueCountFrequency (%)
2497 12
8.3%
2453 12
8.3%
2431 12
8.3%
2414 12
8.3%
2378 12
8.3%
2331 12
8.3%
2306 12
8.3%
2246 12
8.3%
2195 12
8.3%
2146 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64851804
Minimum0.55677992
Maximum0.69411432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:01.755288image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.55677992
5-th percentile0.55677992
Q10.6328323
median0.65195087
Q30.6712242
95-th percentile0.69411432
Maximum0.69411432
Range0.1373344
Interquartile range (IQR)0.038391901

Descriptive statistics

Standard deviation0.035231399
Coefficient of variation (CV)0.054326013
Kurtosis1.4024732
Mean0.64851804
Median Absolute Deviation (MAD)0.019146947
Skewness-1.1794514
Sum93.386598
Variance0.0012412515
MonotonicityNot monotonic
2023-08-30T17:53:01.835066image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.5567799204 12
8.3%
0.6689526185 12
8.3%
0.6327471894 12
8.3%
0.6523338048 12
8.3%
0.6759522456 12
8.3%
0.6865756542 12
8.3%
0.6354961832 12
8.3%
0.6515679443 12
8.3%
0.6251877817 12
8.3%
0.6941143181 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.5567799204 12
8.3%
0.6251877817 12
8.3%
0.6327471894 12
8.3%
0.6328606658 12
8.3%
0.6354961832 12
8.3%
0.6515679443 12
8.3%
0.6523338048 12
8.3%
0.6689526185 12
8.3%
0.6696481813 12
8.3%
0.6759522456 12
8.3%
ValueCountFrequency (%)
0.6941143181 12
8.3%
0.6865756542 12
8.3%
0.6759522456 12
8.3%
0.6696481813 12
8.3%
0.6689526185 12
8.3%
0.6523338048 12
8.3%
0.6515679443 12
8.3%
0.6354961832 12
8.3%
0.6328606658 12
8.3%
0.6327471894 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57997920
Minimum40694093
Maximum82408773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:01.924025image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum40694093
5-th percentile40694093
Q148528759
median54003778
Q368857711
95-th percentile82408773
Maximum82408773
Range41714680
Interquartile range (IQR)20328952

Descriptive statistics

Standard deviation13223948
Coefficient of variation (CV)0.22800727
Kurtosis-1.0917393
Mean57997920
Median Absolute Deviation (MAD)9190716.5
Skewness0.49143088
Sum8.3517005 × 109
Variance1.7487279 × 1014
MonotonicityNot monotonic
2023-08-30T17:53:01.999465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
40694093 12
8.3%
43233156 12
8.3%
46392968 12
8.3%
49589574 12
8.3%
49240689 12
8.3%
52146196 12
8.3%
55861361 12
8.3%
59772108 12
8.3%
67054624 12
8.3%
74266972 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
40694093 12
8.3%
43233156 12
8.3%
46392968 12
8.3%
49240689 12
8.3%
49589574 12
8.3%
52146196 12
8.3%
55861361 12
8.3%
59772108 12
8.3%
67054624 12
8.3%
74266972 12
8.3%
ValueCountFrequency (%)
82408773 12
8.3%
75314524 12
8.3%
74266972 12
8.3%
67054624 12
8.3%
59772108 12
8.3%
55861361 12
8.3%
52146196 12
8.3%
49589574 12
8.3%
49240689 12
8.3%
46392968 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.041667
Minimum17.1
Maximum24.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:02.077907image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum17.1
5-th percentile17.1
Q119.7
median21.3
Q322.45
95-th percentile24.1
Maximum24.1
Range7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.1241699
Coefficient of variation (CV)0.10095065
Kurtosis-0.83819544
Mean21.041667
Median Absolute Deviation (MAD)1.3
Skewness-0.37820803
Sum3030
Variance4.5120979
MonotonicityNot monotonic
2023-08-30T17:53:02.155891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
18 12
8.3%
18.8 12
8.3%
20 12
8.3%
21.4 12
8.3%
17.1 12
8.3%
24.1 12
8.3%
23.9 12
8.3%
21.2 12
8.3%
22 12
8.3%
22.4 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
17.1 12
8.3%
18 12
8.3%
18.8 12
8.3%
20 12
8.3%
21 12
8.3%
21.2 12
8.3%
21.4 12
8.3%
22 12
8.3%
22.4 12
8.3%
22.6 12
8.3%
ValueCountFrequency (%)
24.1 12
8.3%
23.9 12
8.3%
22.6 12
8.3%
22.4 12
8.3%
22 12
8.3%
21.4 12
8.3%
21.2 12
8.3%
21 12
8.3%
20 12
8.3%
18.8 12
8.3%

employment_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69933.951
Minimum53617
Maximum84402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:02.819945image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum53617
5-th percentile55505.95
Q161301.75
median71043
Q377994.75
95-th percentile83338
Maximum84402
Range30785
Interquartile range (IQR)16693

Descriptive statistics

Standard deviation9216.4649
Coefficient of variation (CV)0.13178813
Kurtosis-1.3586137
Mean69933.951
Median Absolute Deviation (MAD)8758
Skewness-0.10591259
Sum10070489
Variance84943226
MonotonicityNot monotonic
2023-08-30T17:53:02.895392image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53617 1
 
0.7%
53943 1
 
0.7%
75137 1
 
0.7%
75273 1
 
0.7%
75592 1
 
0.7%
75837 1
 
0.7%
75373 1
 
0.7%
76304 1
 
0.7%
76435 1
 
0.7%
76812 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
53617 1
0.7%
53943 1
0.7%
54080 1
0.7%
54774 1
0.7%
55284 1
0.7%
55291 1
0.7%
55355 1
0.7%
55501 1
0.7%
55534 1
0.7%
55855 1
0.7%
ValueCountFrequency (%)
84402 1
0.7%
84335 1
0.7%
84104 1
0.7%
83975 1
0.7%
83822 1
0.7%
83801 1
0.7%
83769 1
0.7%
83377 1
0.7%
83117 1
0.7%
82667 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22164319
Minimum0.21151504
Maximum0.23114456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:02.975209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.21151504
5-th percentile0.21363826
Q10.21738831
median0.22262514
Q30.2257319
95-th percentile0.22825204
Maximum0.23114456
Range0.019629519
Interquartile range (IQR)0.0083435902

Descriptive statistics

Standard deviation0.0047727584
Coefficient of variation (CV)0.021533522
Kurtosis-1.0357881
Mean0.22164319
Median Absolute Deviation (MAD)0.0038816959
Skewness-0.25806945
Sum31.916619
Variance2.2779223 × 10-5
MonotonicityNot monotonic
2023-08-30T17:53:03.051915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2246566274 1
 
0.7%
0.2259052038 1
 
0.7%
0.2222113784 1
 
0.7%
0.2209907932 1
 
0.7%
0.2198592287 1
 
0.7%
0.2192156602 1
 
0.7%
0.2169019678 1
 
0.7%
0.2188951395 1
 
0.7%
0.2184793483 1
 
0.7%
0.218530046 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.2115150375 1
0.7%
0.2127317081 1
0.7%
0.2130454937 1
0.7%
0.2131717617 1
0.7%
0.2133168569 1
0.7%
0.2133401616 1
0.7%
0.2133895804 1
0.7%
0.21359883 1
0.7%
0.2138616673 1
0.7%
0.2139397165 1
0.7%
ValueCountFrequency (%)
0.2311445568 1
0.7%
0.2300699279 1
0.7%
0.2299596725 1
0.7%
0.2289145152 1
0.7%
0.2288144328 1
0.7%
0.2286213133 1
0.7%
0.2283275097 1
0.7%
0.2282653055 1
0.7%
0.228176869 1
0.7%
0.2280976455 1
0.7%

Average_Temp
Real number (ℝ)

Distinct115
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.974306
Minimum-7.2
Maximum28.8
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)16.0%
Memory size6.3 KiB
2023-08-30T17:53:03.131202image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-7.2
5-th percentile-2.74
Q13.375
median14.15
Q322.6
95-th percentile26.84
Maximum28.8
Range36
Interquartile range (IQR)19.225

Descriptive statistics

Standard deviation10.269009
Coefficient of variation (CV)0.79148817
Kurtosis-1.3458001
Mean12.974306
Median Absolute Deviation (MAD)8.95
Skewness-0.16407331
Sum1868.3
Variance105.45255
MonotonicityNot monotonic
2023-08-30T17:53:03.207760image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.8 3
 
2.1%
21.8 3
 
2.1%
-0.9 3
 
2.1%
23.1 3
 
2.1%
25.9 3
 
2.1%
14.2 2
 
1.4%
1.4 2
 
1.4%
24.1 2
 
1.4%
22.1 2
 
1.4%
15.6 2
 
1.4%
Other values (105) 119
82.6%
ValueCountFrequency (%)
-7.2 1
0.7%
-4.5 1
0.7%
-4.1 1
0.7%
-4 1
0.7%
-3.4 1
0.7%
-3.2 1
0.7%
-2.9 1
0.7%
-2.8 1
0.7%
-2.4 1
0.7%
-2 1
0.7%
ValueCountFrequency (%)
28.8 1
0.7%
28.1 1
0.7%
28 1
0.7%
27.8 1
0.7%
27.7 1
0.7%
27.2 1
0.7%
27.1 1
0.7%
26.9 1
0.7%
26.5 2
1.4%
26.3 1
0.7%

Monthly_Rainfall
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct137
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.91528
Minimum0
Maximum1131
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:03.287802image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.115
Q125.375
median60.8
Q3130.475
95-th percentile442.24
Maximum1131
Range1131
Interquartile range (IQR)105.1

Descriptive statistics

Standard deviation159.6245
Coefficient of variation (CV)1.439157
Kurtosis14.428819
Mean110.91528
Median Absolute Deviation (MAD)44.25
Skewness3.3877616
Sum15971.8
Variance25479.98
MonotonicityNot monotonic
2023-08-30T17:53:03.363585image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.1 2
 
1.4%
104.6 2
 
1.4%
0 2
 
1.4%
7.9 2
 
1.4%
25.6 2
 
1.4%
7.1 2
 
1.4%
16.1 2
 
1.4%
29.3 1
 
0.7%
26.5 1
 
0.7%
40.7 1
 
0.7%
Other values (127) 127
88.2%
ValueCountFrequency (%)
0 2
1.4%
0.8 1
0.7%
1 1
0.7%
4.6 1
0.7%
6.7 1
0.7%
7.1 2
1.4%
7.2 1
0.7%
7.9 2
1.4%
8.2 1
0.7%
8.5 1
0.7%
ValueCountFrequency (%)
1131 1
0.7%
676.2 1
0.7%
675.7 1
0.7%
671.5 1
0.7%
621 1
0.7%
598.7 1
0.7%
464.9 1
0.7%
448.9 1
0.7%
404.5 1
0.7%
358.2 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.208333
Minimum43
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:03.434471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile47.15
Q154
median59
Q365
95-th percentile74
Maximum85
Range42
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.4868265
Coefficient of variation (CV)0.14095767
Kurtosis-0.24595549
Mean60.208333
Median Absolute Deviation (MAD)5
Skewness0.45355222
Sum8670
Variance72.026224
MonotonicityNot monotonic
2023-08-30T17:53:03.498103image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
54 10
 
6.9%
56 10
 
6.9%
58 9
 
6.2%
61 8
 
5.6%
59 8
 
5.6%
55 7
 
4.9%
74 6
 
4.2%
63 6
 
4.2%
60 6
 
4.2%
57 6
 
4.2%
Other values (24) 68
47.2%
ValueCountFrequency (%)
43 1
 
0.7%
45 2
 
1.4%
46 3
2.1%
47 2
 
1.4%
48 3
2.1%
49 2
 
1.4%
50 2
 
1.4%
51 5
3.5%
52 5
3.5%
53 2
 
1.4%
ValueCountFrequency (%)
85 1
 
0.7%
79 2
 
1.4%
78 1
 
0.7%
77 3
2.1%
74 6
4.2%
73 3
2.1%
72 1
 
0.7%
71 5
3.5%
70 2
 
1.4%
69 4
2.8%

Ground_Temp
Real number (ℝ)

Distinct118
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.661111
Minimum-4.7
Maximum31.9
Zeros1
Zeros (%)0.7%
Negative19
Negative (%)13.2%
Memory size6.3 KiB
2023-08-30T17:53:03.571404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-4.7
5-th percentile-1.385
Q14.525
median15.8
Q325.125
95-th percentile28.87
Maximum31.9
Range36.6
Interquartile range (IQR)20.6

Descriptive statistics

Standard deviation11.070285
Coefficient of variation (CV)0.75507816
Kurtosis-1.4584085
Mean14.661111
Median Absolute Deviation (MAD)10.05
Skewness-0.12499414
Sum2111.2
Variance122.5512
MonotonicityNot monotonic
2023-08-30T17:53:03.645952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.3 4
 
2.8%
28.2 3
 
2.1%
1.6 3
 
2.1%
-0.4 3
 
2.1%
1 2
 
1.4%
8.1 2
 
1.4%
-0.7 2
 
1.4%
29.7 2
 
1.4%
25.1 2
 
1.4%
26.5 2
 
1.4%
Other values (108) 119
82.6%
ValueCountFrequency (%)
-4.7 1
0.7%
-2.8 1
0.7%
-2.3 1
0.7%
-2 2
1.4%
-1.9 1
0.7%
-1.5 1
0.7%
-1.4 1
0.7%
-1.3 1
0.7%
-1.2 1
0.7%
-1.1 1
0.7%
ValueCountFrequency (%)
31.9 1
0.7%
31.8 1
0.7%
31.3 1
0.7%
29.7 2
1.4%
29.5 1
0.7%
29.2 1
0.7%
28.9 1
0.7%
28.7 1
0.7%
28.6 1
0.7%
28.4 1
0.7%

Average_Wind
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4111111
Minimum1.4
Maximum3.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:03.718838image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.7
Q12.1
median2.4
Q32.7
95-th percentile3.1
Maximum3.5
Range2.1
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.42444717
Coefficient of variation (CV)0.176038
Kurtosis-0.033290115
Mean2.4111111
Median Absolute Deviation (MAD)0.3
Skewness0.18502206
Sum347.2
Variance0.1801554
MonotonicityNot monotonic
2023-08-30T17:53:03.779549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2.4 20
13.9%
2.1 17
11.8%
2.3 14
9.7%
2.2 11
 
7.6%
2.5 10
 
6.9%
2.8 10
 
6.9%
2.7 9
 
6.2%
2.6 8
 
5.6%
2.9 7
 
4.9%
3 6
 
4.2%
Other values (11) 32
22.2%
ValueCountFrequency (%)
1.4 1
 
0.7%
1.5 2
 
1.4%
1.6 2
 
1.4%
1.7 4
 
2.8%
1.8 5
 
3.5%
1.9 4
 
2.8%
2 5
 
3.5%
2.1 17
11.8%
2.2 11
7.6%
2.3 14
9.7%
ValueCountFrequency (%)
3.5 1
 
0.7%
3.4 4
 
2.8%
3.2 2
 
1.4%
3.1 2
 
1.4%
3 6
4.2%
2.9 7
4.9%
2.8 10
6.9%
2.7 9
6.2%
2.6 8
5.6%
2.5 10
6.9%

Average_Pressure
Real number (ℝ)

Distinct105
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1006.0812
Minimum995.3
Maximum1016.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T17:53:03.850554image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum995.3
5-th percentile996.715
Q1999.475
median1007.1
Q31012.225
95-th percentile1015.07
Maximum1016.8
Range21.5
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation6.5182795
Coefficient of variation (CV)0.0064788798
Kurtosis-1.4232997
Mean1006.0812
Median Absolute Deviation (MAD)5.85
Skewness-0.0990811
Sum144875.7
Variance42.487968
MonotonicityNot monotonic
2023-08-30T17:53:03.928835image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010.7 6
 
4.2%
998.6 4
 
2.8%
1003.3 3
 
2.1%
996.9 3
 
2.1%
997.7 3
 
2.1%
996 3
 
2.1%
1009.1 2
 
1.4%
1002.6 2
 
1.4%
998.9 2
 
1.4%
996.8 2
 
1.4%
Other values (95) 114
79.2%
ValueCountFrequency (%)
995.3 1
 
0.7%
996 3
2.1%
996.2 2
1.4%
996.4 1
 
0.7%
996.7 1
 
0.7%
996.8 2
1.4%
996.9 3
2.1%
997.2 2
1.4%
997.3 1
 
0.7%
997.4 1
 
0.7%
ValueCountFrequency (%)
1016.8 1
0.7%
1016.7 1
0.7%
1016.1 1
0.7%
1015.9 1
0.7%
1015.4 1
0.7%
1015.3 1
0.7%
1015.1 2
1.4%
1014.9 1
0.7%
1014.8 1
0.7%
1014.7 1
0.7%

Interactions

2023-08-30T17:52:57.431342image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.471450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.226872image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.208770image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.891795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.523398image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.493664image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.220658image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.750468image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.681923image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.340014image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.987734image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.484367image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.020718image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.093502image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.693156image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.207549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.793320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.344442image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.033006image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.278926image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.858161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.378190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.961028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.492996image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.574561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.297565image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.279208image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.984078image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.593711image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.573509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.287005image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.818145image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.751102image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.413245image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.054632image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.550911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.097395image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.163111image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.759839image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.278765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.864705image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.415686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.132724image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.359937image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.922144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.452347image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.025671image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.558707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.641523image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.694804image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.351434image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.049383image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.663094image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.642644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.351663image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.885900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.821570image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.484366image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.119349image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.625651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.168495image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.235365image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.822411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.348262image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.931269image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.483382image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.204947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.423528image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.986732image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.523416image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.086966image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.627345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.711812image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.771785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.422511image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.115786image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.064080image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.710684image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.421538image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.954460image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.893183image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.569651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.187129image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.706861image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.247684image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.305542image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.890885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.416774image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.004904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.553900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.275546image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.491176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.053950image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.595891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.152155image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.689336image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.778723image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.841985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.495837image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.195431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.133242image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.784312image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.501241image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.018967image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.959964image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.635895image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.248257image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.770421image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.315816image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.372527image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.951595image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.482445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.069119image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.620914image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.352084image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.556051image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.117846image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.668570image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.217089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.754837image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.849331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.918025image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.573871image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.265891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.206372image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.863653image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.569519image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.096070image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.031111image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.709177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.314887image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.838183image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.387080image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.446988image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.018189image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.551783image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.138653image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.700167image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.443087image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.623223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.185730image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.739041image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.281069image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.819305image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.918859image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.992706image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.655904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.335292image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.286131image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.946791image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.633360image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.173203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.118427image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.776774image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.376500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.902320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.458387image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.516850image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.081328image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.621088image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.211769image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.780572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.515049image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.687894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.248052image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.810147image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.347994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.878174image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:18.988994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.061036image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.721514image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.397844image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.347651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.009575image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.690187image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.232471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.202712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.841655image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.435313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.960521image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.521807image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.578102image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.148731image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.681982image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.274555image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.843089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.583306image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.748554image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.313394image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.877564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.406817image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.939917image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.054088image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.134247image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.799652image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.463192image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.412313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.074726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.749957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.291684image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.271458image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.902060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.499948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.021615image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.586072image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.641419image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.217283image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.746638image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.335967image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.906209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.649641image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.811026image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.383338image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.942127image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.467714image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.003067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.121952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.200799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.869708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.528333image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.483628image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.154433image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.813626image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.362634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.335766image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.966923image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.565183image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.086793image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.661544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.707687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.278752image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.815196image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.401773image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.973910image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.725006image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.873479image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.443125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.010738image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.533542image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.073357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.191294image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.265504image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.935370image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.593093image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.559097image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.233446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.875208image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.424603image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.411501image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.037724image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.625936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.149772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.733968image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.778666image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.340479image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.879345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.464515image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.051299image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.794444image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.935150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.502358image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.075590image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.596043image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.129258image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.251644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.330147image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.997807image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.651287image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.618735image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.308216image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.929297image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.480168image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.470190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.099061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.679523image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.211911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.796493image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.838399image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.399001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.936404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.528447image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.112026image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.864903image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.994514image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.557404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.134853image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.652549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.191064image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.365157image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.392952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.062619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.714799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.682879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.371879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.988141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.542943image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.533234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.166509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.737911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.270102image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.864422image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.904290image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.457818image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.995566image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.589713image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.177464image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:49.953500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.060170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.618713image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.197713image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.711161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.268185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.438743image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.478415image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.133369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.791878image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.752234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.440377image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.054862image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.608881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.604728image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.234559image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.809457image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.337806image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:39.933097image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.973172image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.533550image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.062722image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.654124image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.244370image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:50.022991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.140461image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.688609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.264733image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.773292image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.336356image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.514250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.546610image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.203402image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.859823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.823328image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.514594image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.118106image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.676484image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.681203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.305756image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.872561image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.404434image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.004597image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.040567image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.598636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.127110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.719519image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.312473image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:50.092782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.209915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.752331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.329792image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.833939image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.395315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.587660image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.611209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.266499image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.929695image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.890451image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.592655image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.176981image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.738815image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.742782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.368708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.930156image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.462852image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.071033image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.102449image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.653918image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.195174image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.778610image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.377203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:50.156450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.269878image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.809659image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.387468image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.892660image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.466816image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.659186image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.687003image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.335093image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:24.996039image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:26.967278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.676268image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.247523image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.805776image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.807539image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.439788image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:36.993109image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.527531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.140779image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.172316image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.718988image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.259386image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.843707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.445911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:50.236140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.333979image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.873865image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.451936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:56.956352image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.527658image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.724204image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.753431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.402528image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.072750image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.036744image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.745045image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.313879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.867796image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.875062image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.507912image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.054669image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.588061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.211339image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.239748image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.778940image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.323150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.908154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.532302image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:50.313464image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.397748image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.932468image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.516722image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.017918image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.593909image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.801899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.821708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.481023image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.141914image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.105245image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.824943image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.379808image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:31.933951image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:33.949622image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.576489image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.120785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.659755image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.287157image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.314183image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.844754image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.392296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:46.975181image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.608566image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:50.896032image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.461993image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:53.997115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.586061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.079005image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.658072image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.880797image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.890477image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.551148image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.209884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.172608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.894144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.442019image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.003057image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.015077image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.654141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.184573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.726292image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.353194image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.381105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.909508image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.457619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.041811image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.680040image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:50.966659image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.529572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.072251image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.654730image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.142879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.728864image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:19.961251image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:21.954093image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.615430image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.269202image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.238105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:28.958462image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.501309image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.066002image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.081966image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.718357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.243519image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.788799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.415037image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.443278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:43.968211image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.525252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.101876image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.750194image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.030261image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.598531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.133037image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.714506image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.203978image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.784022image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.024199image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.014230image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.675014image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.328769image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.301616image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.016163image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.559396image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.122089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.139688image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.797129image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.301389image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.842774image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.898775image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.504651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.022474image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.584790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.160281image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.828170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.086738image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.672369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.192613image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.770269image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.259327image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.846566image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.094185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.081944image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.743042image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.394072image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.368790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.082927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.625014image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.185836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.218515image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.864507image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.362047image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.904430image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:40.970544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.570147image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.092551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.658276image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.225063image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.895432image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.155100image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.734740image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.256611image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.837749image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.319967image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:58.905230image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:20.157001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:22.145500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:23.819491image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:25.461820image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:27.431743image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:29.145759image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:30.683970image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:32.244224image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:34.280578image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:35.925195image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:37.429044image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:38.962734image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:41.031689image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:42.632330image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:44.149229image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:45.730267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:47.284687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:48.957665image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:51.218425image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:52.799200image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:54.314997image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:55.900396image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T17:52:57.375911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-08-30T17:53:04.006702image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100annual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.0000.9140.914-0.9050.9140.914-0.8450.9130.4030.9050.5960.8750.3990.1950.9020.4580.912-0.6850.1830.0880.1390.177-0.569-0.085
Total_Population0.9141.0001.000-0.9971.0001.000-0.9320.9990.4910.9860.6410.9340.3900.2160.9900.5580.998-0.6900.0730.0350.0970.064-0.5610.024
Households0.9141.0001.000-0.9971.0001.000-0.9320.9990.4910.9860.6410.9340.3900.2160.9900.5580.998-0.6900.0730.0340.0970.064-0.5610.024
Population_per_Households-0.905-0.997-0.9971.000-0.997-0.9970.940-0.997-0.518-0.982-0.642-0.934-0.389-0.213-0.989-0.557-0.9960.684-0.043-0.008-0.068-0.0360.545-0.044
Male_Population0.9141.0001.000-0.9971.0001.000-0.9320.9990.4910.9860.6410.9340.3900.2160.9900.5580.998-0.6900.0730.0350.0980.064-0.5610.024
Female_Population0.9141.0001.000-0.9971.0001.000-0.9320.9990.4910.9860.6410.9340.3900.2160.9900.5580.998-0.6900.0730.0350.0970.064-0.5610.024
Male_Female_Ratio-0.845-0.932-0.9320.940-0.932-0.9321.000-0.935-0.616-0.927-0.689-0.922-0.301-0.079-0.942-0.517-0.9290.6670.0900.0330.0160.0950.499-0.147
Population_aging_Ratio0.9130.9990.999-0.9970.9990.999-0.9351.0000.4910.9860.6460.9350.3900.2130.9890.5570.997-0.6890.0740.0370.0970.065-0.5580.023
Power_usage0.4030.4910.491-0.5180.4910.491-0.6160.4911.0000.4570.3090.5070.1850.0080.5230.2730.478-0.420-0.609-0.397-0.357-0.615-0.2030.593
Num_of_Business0.9050.9860.986-0.9820.9860.986-0.9270.9860.4571.0000.6770.9190.3830.1600.9680.5340.987-0.6660.0910.0560.1210.082-0.5800.013
Business_above_1000.5960.6410.641-0.6420.6410.641-0.6890.6460.3090.6771.0000.6740.130-0.3300.6450.2760.646-0.3310.1060.1230.0660.101-0.595-0.039
annual_household_income0.8750.9340.934-0.9340.9340.934-0.9220.9350.5070.9190.6741.0000.3990.1610.9580.5380.932-0.7070.0430.0350.0160.037-0.5530.019
High_School_Graduate_num0.3990.3900.390-0.3890.3900.390-0.3010.3900.1850.3830.1300.3991.0000.3850.3780.3850.396-0.2490.024-0.067-0.1770.043-0.4350.024
High_School_Graduate_ratio0.1950.2160.216-0.2130.2160.216-0.0790.2130.0080.160-0.3300.1610.3851.0000.1960.1540.220-0.2120.028-0.129-0.0310.0390.0730.009
personal_expense0.9020.9900.990-0.9890.9900.990-0.9420.9890.5230.9680.6450.9580.3780.1961.0000.6010.986-0.6940.0500.0240.0550.044-0.5350.027
benefits_vs_personal_expense0.4580.5580.558-0.5570.5580.558-0.5170.5570.2730.5340.2760.5380.3850.1540.6011.0000.558-0.1220.0430.004-0.0280.048-0.3150.013
employment_ratio0.9120.9980.998-0.9960.9980.998-0.9290.9970.4780.9870.6460.9320.3960.2200.9860.5581.000-0.6780.0790.0400.1000.071-0.5650.019
employment_insurance_ratio-0.685-0.690-0.6900.684-0.690-0.6900.667-0.689-0.420-0.666-0.331-0.707-0.249-0.212-0.694-0.122-0.6781.000-0.001-0.049-0.0860.0230.360-0.050
Average_Temp0.1830.0730.073-0.0430.0730.0730.0900.074-0.6090.0910.1060.0430.0240.0280.0500.0430.079-0.0011.0000.7320.6850.991-0.191-0.909
Monthly_Rainfall0.0880.0350.034-0.0080.0350.0350.0330.037-0.3970.0560.1230.035-0.067-0.1290.0240.0040.040-0.0490.7321.0000.7160.703-0.109-0.707
Average_Relative_Humadity0.1390.0970.097-0.0680.0980.0970.0160.097-0.3570.1210.0660.016-0.177-0.0310.055-0.0280.100-0.0860.6850.7161.0000.637-0.210-0.563
Ground_Temp0.1770.0640.064-0.0360.0640.0640.0950.065-0.6150.0820.1010.0370.0430.0390.0440.0480.0710.0230.9910.7030.6371.000-0.167-0.922
Average_Wind-0.569-0.561-0.5610.545-0.561-0.5610.499-0.558-0.203-0.580-0.595-0.553-0.4350.073-0.535-0.315-0.5650.360-0.191-0.109-0.210-0.1671.0000.001
Average_Pressure-0.0850.0240.024-0.0440.0240.024-0.1470.0230.5930.013-0.0390.0190.0240.0090.0270.0130.019-0.050-0.909-0.707-0.563-0.9220.0011.000

Missing values

2023-08-30T17:52:59.021921image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-30T17:52:59.228914image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-01118558.064516238662.091265.02.615044122842.0115820.01.0606298.8229454000.011587.067.00.0641.01819.00.5567840694093.018.053617.00.224657-4.529.365.0-1.22.31013.6
2010-02-01117525.357143238786.091411.02.612224122892.0115894.01.0603838.8221621000.011729.068.00.0641.01819.00.5567840694093.018.053943.00.2259051.455.359.01.42.41010.7
2010-03-01119114.193548239430.091723.02.610359123224.0116206.01.0603938.9182461000.011627.071.00.0641.01819.00.5567840694093.018.054080.00.2258704.382.559.05.02.91009.6
2010-04-01106863.666667240134.092041.02.608989123577.0116557.01.0602288.9190282000.012110.080.00.0641.01819.00.5567840694093.018.054774.00.2280989.562.854.010.82.91007.4
2010-05-01125643.548387241505.092371.02.614511124361.0117144.01.0616088.9158194000.012159.082.00.0641.01819.00.5567840694093.018.055284.00.22891517.2124.062.018.72.61000.6
2010-06-01126102.666667242559.092819.02.613247124939.0117620.01.0622268.9149051000.012365.081.00.0641.01819.00.5567840694093.018.055501.00.22881423.4127.662.026.12.1999.5
2010-07-01122844.838710243433.093273.02.609898125384.0118049.01.0621358.9161991000.010030.064.00.0641.01819.00.5567840694093.018.055355.00.22739325.8239.274.027.62.5997.7
2010-08-01130349.354839244950.093708.02.613971126276.0118674.01.0640588.9160766000.010325.065.00.0641.01819.00.5567840694093.018.055291.00.22572426.5598.778.028.32.41000.3
2010-09-01114031.666667245810.094030.02.614166126711.0119099.01.0639138.9161830000.010589.067.00.0641.01819.00.5567840694093.018.055534.00.22592221.8671.572.023.72.31003.4
2010-10-01100616.774194248174.095675.02.593927128056.0120118.01.0660858.9147606000.010903.067.00.0641.01819.00.5567840694093.018.055855.00.22506414.525.661.015.92.21008.9
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-01222748.451613383052.0164789.02.324500195851.0187201.01.04620713.6224427437.020650.079.00.0890.02053.00.63286182408773.022.682134.00.2144209.0110.963.09.72.41009.2
2021-04-01209055.300000383794.0165219.02.322941196185.0187609.01.04571213.7215380915.021343.079.00.0890.02053.00.63286182408773.022.683117.00.21656714.2124.154.015.72.61007.9
2021-05-01209302.258065384306.0165450.02.322792196393.0187913.01.04512713.8195316807.021072.080.00.0890.02053.00.63286182408773.022.683377.00.21695517.1183.168.018.82.4998.9
2021-06-01215247.433333384714.0165676.02.322086196588.0188126.01.04498013.8203319093.021438.082.00.0890.02053.00.63286182408773.022.683801.00.21782722.8104.673.025.22.2997.7
2021-07-01216506.548387385000.0165915.02.320465196660.0188340.01.04417513.9219033952.021577.082.00.0890.02053.00.63286182408773.022.683769.00.21758228.1168.371.029.72.0998.1
2021-08-01224634.419355385808.0166446.02.317917197056.0188752.01.04399414.0248480390.021424.082.00.0890.02053.00.63286182408773.022.683822.00.21726425.9211.274.028.22.1998.6
2021-09-01212219.100000386301.0166840.02.315398197265.0189036.01.04353114.1219289107.021198.081.00.0890.02053.00.63286182408773.022.684104.00.21771622.6131.071.024.62.31003.4
2021-10-01195280.064516386496.0166969.02.314777197315.0189181.01.04299614.1196543676.021378.084.00.0890.02053.00.63286182408773.022.684335.00.21820415.657.070.016.72.11011.0
2021-11-01227141.466667386573.0167158.02.312620197285.0189288.01.04224814.2223602089.021471.085.00.0890.02053.00.63286182408773.022.684402.00.2183348.262.468.07.92.11009.1
2021-12-01215382.193548387289.0167673.02.309788197673.0189616.01.04249114.3255527156.021207.087.00.0890.02053.00.63286182408773.022.683975.00.2168280.67.962.00.82.31014.4